import OAI.MathematicalPhysics.Boltzmann.Admissibility import OAI.MathematicalPhysics.Boltzmann.Approximation.RegularizedCollisionDifference import OAI.MathematicalPhysics.Boltzmann.Collision.CollisionSources import OAI.MathematicalPhysics.Boltzmann.Collision.ScalarEntropyConvex import OAI.MathematicalPhysics.Boltzmann.Collision.VelocityCutoffEntropyError import OAI.MathematicalPhysics.Boltzmann.Compactness.FiniteDepthKernelOrder import OAI.MathematicalPhysics.Boltzmann.Compactness.NormalizedKernelAction import Mathlib.Analysis.SpecialFunctions.Log.NegMulLog import Mathlib.MeasureTheory.Integral.Lebesgue.Add namespace OAI section /-! # The integrable entropy error caused by positive regularization -/ noncomputable section open MeasureTheory open BoltzmannNonuniqueness.VelocityWeight namespace BoltzmannNonuniqueness def entropyErrorCoefficient (q A b : ℝ) : ℝ := tiltConstant*(2*A+tiltConstant)* (HotApplication.realBound q+CutoffLipschitz.frequencyConstant q b) theorem entropyErrorCoefficient_nonneg {A b : ℝ} (hA : 0 ≤ A) (hb : 0 ≤ b) (q : ℝ) : 0 ≤ entropyErrorCoefficient q A b := by unfold entropyErrorCoefficient exact mul_nonneg (mul_nonneg tiltConstant_pos.le (by linarith [tiltConstant_pos])) (add_nonneg (HotApplication.realBound_pos q).le (CutoffLipschitz.frequencyConstant_nonneg hb q)) theorem cutoffCollision_measurable {f : Velocity → ℝ} (hfm : Measurable f) (b : ℝ) : Measurable (CutoffLipschitz.collision b f) := by let F : Unit × Velocity → ℝ := fun z => f z.2 have hF : Measurable F := hfm.comp measurable_snd have hg := KineticCollisionNullSets.measurable_gain hF b have hν := KineticCollisionNullSets.measurable_frequency hF b have hs := (hg.sub (hF.mul hν)).comp (measurable_const.prodMk measurable_id : Measurable (fun v : Velocity => ((),v))) convert hs using 1 funext v rfl theorem entropy_regularization_error (hcarleman : Published.GPV2009CarlemanInput) {δ A q b p : ℝ} (hδ : 0 < δ) (hδone : δ ≤ 1) (hA : 0 ≤ A) (hq₁ : 1 < q) (hq₂ : q < 2) (hb : 0 ≤ b) (hp : 1 < p) (hpi : Integrable (fun v : Velocity => H q v^p)) {f : Velocity → ℝ} (hfm : Measurable f) (hfn : ∀ v, 0 ≤ f v) (hfb : ∀ v, f v ≤ A*H q v) : Integrable (fun v => Real.log (gaussianRegularization δ f v/maxwellian v)* (CutoffLipschitz.collision b (gaussianRegularization δ f) v-CutoffLipschitz.collision b f v)) ∧ |∫ v, Real.log (gaussianRegularization δ f v/maxwellian v)* (CutoffLipschitz.collision b (gaussianRegularization δ f) v-CutoffLipschitz.collision b f v)| ≤ δ*entropyErrorCoefficient q A b*∫ v, logarithmicMajorant q (A+tiltConstant) p δ v := by let L := fun v => Real.log (gaussianRegularization δ f v/maxwellian v) let Q := fun v => CutoffLipschitz.collision b (gaussianRegularization δ f) v- CutoffLipschitz.collision b f v have hgm := gaussianRegularization_measurable δ hfm have hmm : Measurable maxwellian := by unfold maxwellian; fun_prop have hLm : Measurable L := (hgm.div hmm).log have hQm : Measurable Q := (cutoffCollision_measurable hgm b).sub (cutoffCollision_measurable hfm b) have hC := entropyErrorCoefficient_nonneg hA hb q have hδC : 0 ≤ δ*entropyErrorCoefficient q A b := mul_nonneg hδ.le hC have hmajor := (logarithmicMajorant_integrable (B := A+tiltConstant) (δ := δ) hq₂ hpi).const_mul (δ*entropyErrorCoefficient q A b) have hbound : ∀ᵐ v : Velocity, ‖L v*Q v‖ ≤ δ*entropyErrorCoefficient q A b*logarithmicMajorant q (A+tiltConstant) p δ v := by filter_upwards [gaussianRegularization_collision_error hcarleman hδ.le hδone hA hq₁ hq₂ hb hfm hfn hfb] with v hv have hl : |L v| * H q v ≤ logarithmicMajorant q (A+tiltConstant) p δ v := logarithm_weight_bound (add_nonneg hA tiltConstant_pos.le) hp hδ v (by dsimp [gaussianRegularization]; linarith [hfn v]) (gaussianRegularization_bound hδ.le hδone hfb v) rw [Real.norm_eq_abs,abs_mul] calc _ ≤ |L v| * (δ*entropyErrorCoefficient q A b*H q v) := mul_le_mul_of_nonneg_left hv (abs_nonneg _) _ = (δ*entropyErrorCoefficient q A b)*(|L v| * H q v) := by ring _ ≤ _ := mul_le_mul_of_nonneg_left hl hδC refine ⟨hmajor.mono' (hLm.mul hQm).aestronglyMeasurable hbound,?_⟩ have h := norm_integral_le_of_norm_le hmajor hbound simpa only [Real.norm_eq_abs,integral_const_mul] using h end BoltzmannNonuniqueness end end section /-! # Finite Gaussian relative entropy controls the required datum class -/ noncomputable section open MeasureTheory namespace BoltzmannNonuniqueness def entropyGaussian (v : Velocity) : ℝ := maxwellian v * Real.exp ((1+‖v‖^2)/4) theorem entropyGaussian_integrable : Integrable entropyGaussian := by have h := (GaussianFourier.integrable_cexp_neg_mul_sq_norm_add (by norm_num : 0 < ((1/4:ℂ)).re) 0 (0:Velocity)).norm have hg : Integrable (fun v : Velocity => Real.exp (-‖v‖^2/4)) := by convert! h using 1 funext v simp only [zero_mul,add_zero,Complex.norm_exp] congr 1 norm_num norm_cast ring convert hg.const_mul ((2*Real.pi)^(-(3/2:ℝ))*Real.exp (1/4)) using 1 funext v dsimp [entropyGaussian,maxwellian] simp only [mul_assoc,← Real.exp_add] congr 2 ring theorem entropy_controls_mass_energy {u : ℝ} (hu : 0 ≤ u) (v : Velocity) : (1+‖v‖^2)*u ≤ 4*(scalarRelativeEntropy (maxwellian v) u+entropyGaussian v) := by have h := entropyDual_le (maxwellian_pos v) hu ((1+‖v‖^2)/4) dsimp [entropyDual,entropyGaussian] at * nlinarith [maxwellian_pos v] theorem finiteEntropy_of_relativeEntropy_integrable {f : Density} (hfm : Measurable f) (hfn : ∀ z, 0 ≤ f z) (hH : Integrable (fun z => scalarRelativeEntropy (maxwellian z.2) (f z))) : FiniteEntropyDatum f := by have hmajor : Integrable (fun z : Phase => 4*(scalarRelativeEntropy (maxwellian z.2) (f z)+entropyGaussian z.2)) := (hH.add (entropyGaussian_integrable.comp_snd volume)).const_mul 4 have hweight : Integrable (fun z : Phase => (1+‖z.2‖^2)*f z) := by apply hmajor.mono' ((measurable_const.add (measurable_snd.norm.pow_const 2)).mul hfm).aestronglyMeasurable filter_upwards [] with z change ‖(1+‖z.2‖^2)*f z‖ ≤ _ rw [Real.norm_of_nonneg (mul_nonneg (by positivity) (hfn z))] exact entropy_controls_mass_energy (hfn z) z.2 have hfi : Integrable f := by apply hweight.mono' hfm.aestronglyMeasurable filter_upwards [] with z rw [Real.norm_of_nonneg (hfn z)] nlinarith [sq_nonneg ‖z.2‖,hfn z] have hEi : Integrable (fun z : Phase => ‖z.2‖^2*f z) := by apply hweight.mono' ((measurable_snd.norm.pow_const 2).mul hfm).aestronglyMeasurable filter_upwards [] with z change ‖‖z.2‖^2*f z‖ ≤ _ rw [Real.norm_of_nonneg (mul_nonneg (sq_nonneg _) (hfn z))] nlinarith [hfn z] exact FiniteEntropyDatum.of_relativeEntropy_integrable (Filter.Eventually.of_forall hfn) hfi hEi hH end BoltzmannNonuniqueness end end section /-! # The regularization error vanishes as the Gaussian is removed -/ noncomputable section open MeasureTheory Filter open scoped Topology open BoltzmannNonuniqueness.VelocityWeight namespace BoltzmannNonuniqueness theorem tendsto_mul_abs_log_zero : Tendsto (fun δ : ℝ => δ*|Real.log δ|) (𝓝 0) (𝓝 0) := by rw [tendsto_zero_iff_norm_tendsto_zero] have h : Tendsto (fun δ : ℝ => |δ*Real.log δ|) (𝓝 0) (𝓝 0) := by simpa using Real.continuous_mul_log.abs.tendsto 0 simpa only [norm_mul,Real.norm_eq_abs,abs_abs,abs_mul] using h theorem tendsto_mul_affine_abs_log_zero (a b : ℝ) : Tendsto (fun δ : ℝ => δ*(a+b*|Real.log δ|)) (𝓝 0) (𝓝 0) := by have h := ((tendsto_id : Tendsto (fun δ : ℝ => δ) (𝓝 0) (𝓝 0)).mul_const a).add (tendsto_mul_abs_log_zero.mul_const b) convert h using 1 · funext δ simp only [id_eq] ring · ring_nf theorem integral_logarithmicMajorant {q B p δ : ℝ} (hq : q < 2) (hp : Integrable (fun v : Velocity => H q v^p)) : (∫ v, logarithmicMajorant q B p δ v) = (B^(p-1)/(p-1))*(∫ v, H q v^p)+ (|Real.log δ|+|-(3/2:ℝ)*Real.log (2*Real.pi)|)*(∫ v, H q v)+ (5/2:ℝ)*(∫ v, ‖v‖^2*H q v) := by have hH := (integrable_H hq).const_mul (|Real.log δ|+|-(3/2:ℝ)*Real.log (2*Real.pi)|) have hE : Integrable (fun v : Velocity => (5/2:ℝ)*(‖v‖^2*H q v)) := by simpa only [Nat.reduceMul] using (integrable_even_moment_H hq 1).const_mul (5/2:ℝ) have he : logarithmicMajorant q B p δ = (fun v => (B^(p-1)/(p-1))*H q v^p)+ (fun v => (|Real.log δ|+|-(3/2:ℝ)*Real.log (2*Real.pi)|)*H q v)+ (fun v => (5/2:ℝ)*(‖v‖^2*H q v)) := by funext v dsimp [logarithmicMajorant] ring rw [he,integral_add' ((hp.const_mul _).add hH) hE,integral_add' (hp.const_mul _) hH] simp only [integral_const_mul] theorem tendsto_integrated_entropy_error {q B p : ℝ} (C : ℝ) (hq : q < 2) (hp : Integrable (fun v : Velocity => H q v^p)) : Tendsto (fun δ : ℝ => δ*C*(∫ v, logarithmicMajorant q B p δ v)) (𝓝 0) (𝓝 0) := by have h := (tendsto_mul_affine_abs_log_zero ((B^(p-1)/(p-1))*(∫ v, H q v^p)+ |-(3/2:ℝ)*Real.log (2*Real.pi)| *(∫ v, H q v)+ (5/2:ℝ)*(∫ v, ‖v‖^2*H q v)) (∫ v, H q v)).mul_const C convert h using 1 · funext δ rw [integral_logarithmicMajorant hq hp] ring · ring_nf end BoltzmannNonuniqueness end end section /-! # Passing an entropy-dissipation inequality through a vanishing error -/ noncomputable section open Filter open scoped ENNReal Topology namespace BoltzmannNonuniqueness theorem entropy_dissipation_of_vanishing_error {ι : Type*} {l : Filter ι} [NeBot l] {H H₀ error D : ι → ℝ} {h h₀ : ℝ} {d : ℝ≥0∞} (hh : Tendsto H l (𝓝 h)) (hh₀ : Tendsto H₀ l (𝓝 h₀)) (herr : Tendsto error l (𝓝 0)) (hn : 0 ≤ h) (hDn : ∀ᶠ i in l, 0 ≤ D i) (hineq : ∀ᶠ i in l, H i-H₀ i+D i ≤ error i) (hfatou : d ≤ liminf (fun i => ENNReal.ofReal (D i)) l) : ENNReal.ofReal h+d ≤ ENNReal.ofReal h₀ := by have hHle : h ≤ h₀ := by have hlim : Tendsto (fun i => H₀ i+error i) l (𝓝 h₀) := by simpa only [add_zero] using hh₀.add herr apply le_of_tendsto_of_tendsto hh hlim filter_upwards [hDn,hineq] with i hi he linarith have hlim : Tendsto (fun i => H₀ i+error i-H i) l (𝓝 (h₀-h)) := by simpa only [add_zero] using (hh₀.add herr).sub hh have hmono : liminf (fun i => ENNReal.ofReal (D i)) l ≤ liminf (fun i => ENNReal.ofReal (H₀ i+error i-H i)) l := by exact liminf_le_liminf (hineq.mono (fun i hi => ENNReal.ofReal_le_ofReal (by linarith))) rw [(ENNReal.tendsto_ofReal hlim).liminf_eq] at hmono calc _ ≤ ENNReal.ofReal h+ENNReal.ofReal (h₀-h) := add_le_add le_rfl (hfatou.trans hmono) _ = ENNReal.ofReal (h+(h₀-h)) := (ENNReal.ofReal_add hn (sub_nonneg.mpr hHle)).symm _ = _ := by congr 1; ring end BoltzmannNonuniqueness end end section /-! # Uniform integrability of the actual mass marginal from entropy -/ noncomputable section open MeasureTheory open scoped ENNReal namespace BoltzmannNonuniqueness.PeriodicApproximation variable {X : Type*} [MeasurableSpace X] {μ : Measure X} [IsFiniteMeasure μ] theorem mass_marginal_uniformIntegrable {f : ℕ → X × Velocity → ℝ} {C : ℝ} (hfm : ∀ n, Measurable (f n)) (hf : ∀ n p, 0 ≤ f n p) (hi : ∀ n, Integrable (entropyGauge (f n)) (μ.prod volume)) (hb : ∀ n, (∫ p, entropyGauge (f n) p ∂μ.prod volume) ≤ C) : UniformIntegrable (fun n => Compactness.fiberMass volume (f n)) 1 μ := by have hui := linearMoment_marginal_uniformIntegrable hfm hf hi hb have hbound n : ∀ᵐ x ∂μ, ‖Compactness.fiberMass volume (f n) x‖ₑ ≤ ‖∫ v, linearMoment (f n) (x,v)‖ₑ := by filter_upwards [(linearMoment_integrable (hfm n) (hf n) (hi n)).prod_right_ae] with x hx apply enorm_le_iff_norm_le.mpr dsimp only [Compactness.fiberMass] have hln (v : Velocity) : 0 ≤ linearMoment (f n) (x,v) := mul_nonneg (by dsimp only [Prod.snd]; positivity) (hf n (x,v)) have hL0 : 0 ≤ ∫ v, linearMoment (f n) (x,v) := integral_nonneg hln rw [Real.norm_of_nonneg (integral_nonneg (fun v => hf n (x,v))),Real.norm_of_nonneg hL0] apply integral_mono_of_nonneg (ae_of_all _ (fun v => hf n (x,v))) hx filter_upwards [] with v change f n (x,v) ≤ (1+‖v‖)*f n (x,v) nlinarith [norm_nonneg v,hf n (x,v)] obtain ⟨hu,D,hD⟩ := hui have hm n := (Compactness.fiberMass_measurable (ν := volume) (hfm n)).aestronglyMeasurable (μ := μ) exact ⟨hu.ae_mono hm hbound,D,fun n => (eLpNorm_mono_enorm_ae (hm n) (hbound n)).trans (hD n)⟩ end BoltzmannNonuniqueness.PeriodicApproximation end end section /-! # A uniform absolute-entropy moment from the relative-entropy bound -/ noncomputable section open MeasureTheory namespace BoltzmannNonuniqueness def entropyMomentCoefficient : ℝ := 2+3*|1-(3/2:ℝ)*Real.log (2*Real.pi)| theorem entropyMomentCoefficient_nonneg : 0 ≤ entropyMomentCoefficient := by unfold entropyMomentCoefficient positivity theorem entropyMoment_control {f : Density} {z : Phase} (hu : 0 ≤ f z) : entropyMoment f z ≤ (1+4*entropyMomentCoefficient)*scalarRelativeEntropy (maxwellian z.2) (f z)+ 4*entropyMomentCoefficient*entropyGaussian z.2+maxwellian z.2 := by let u := f z let c := 1-(3/2:ℝ)*Real.log (2*Real.pi) have hu' : 0 ≤ u := hu have hE : 0 ≤ ‖z.2‖^2*u := mul_nonneg (sq_nonneg _) hu' have hm := (maxwellian_pos z.2).le have hc : c*u ≤ |c| *u := mul_le_mul_of_nonneg_right (le_abs_self c) hu' have hc' : -(|c| *u) ≤ c*u := by simpa only [neg_mul] using mul_le_mul_of_nonneg_right (neg_abs_le c) hu' have hcu : 0 ≤ |c| *u := mul_nonneg (abs_nonneg c) hu' have hH := scalarRelativeEntropy_nonneg (maxwellian_pos z.2) hu' have he : scalarRelativeEntropy (maxwellian z.2) u = u*Real.log u-c*u+(1/2:ℝ)*(‖z.2‖^2*u)+maxwellian z.2 := by dsimp [scalarRelativeEntropy,c] rw [log_maxwellian] ring have ha : |u*Real.log u| ≤ u*Real.log u+2*(|c| *u+(1/2:ℝ)*(‖z.2‖^2*u)+maxwellian z.2) := by apply abs_le.mpr constructor <;> nlinarith have hpre : entropyMoment f z ≤ scalarRelativeEntropy (maxwellian z.2) u+ entropyMomentCoefficient*((1+‖z.2‖^2)*u)+maxwellian z.2 := by have habs : u*|Real.log u| = |u*Real.log u| := by rw [abs_mul,abs_of_nonneg hu'] change u*(1+‖z.2‖^2+|Real.log u|) ≤ _ rw [mul_add,habs] change _ ≤ scalarRelativeEntropy (maxwellian z.2) u+(2+3*|c|)*((1+‖z.2‖^2)*u)+maxwellian z.2 have hEc : 0 ≤ |c| *(‖z.2‖^2*u) := mul_nonneg (abs_nonneg c) hE nlinarith have hb := mul_le_mul_of_nonneg_left (entropy_controls_mass_energy hu' z.2) entropyMomentCoefficient_nonneg exact hpre.trans (by nlinarith) theorem entropyMoment_integral_control {f : Density} (hf : FiniteEntropyDatum f) : (∫ z, entropyMoment f z) ≤ (1+4*entropyMomentCoefficient)*relativeEntropy f+ 4*entropyMomentCoefficient*(∫ z : Phase, entropyGaussian z.2)+ (∫ z : Phase, maxwellian z.2) := by have hH := hf.integrable_relativeEntropy.congr (Filter.Eventually.of_forall (fun z => (scalarRelativeEntropy_eq (maxwellian_pos z.2) _).symm)) have hG : Integrable (fun z : Phase => entropyGaussian z.2) := entropyGaussian_integrable.comp_snd volume have hi := ((hH.const_mul (1+4*entropyMomentCoefficient)).add (hG.const_mul (4*entropyMomentCoefficient))).add integrable_maxwellian_phase have hb := integral_mono_ae hf.2.2 hi (hf.1.mono (fun _ hu => entropyMoment_control hu)) simp only [Pi.add_apply] at hb have hsum := integral_add ((hH.const_mul (1+4*entropyMomentCoefficient)).add (hG.const_mul (4*entropyMomentCoefficient))) integrable_maxwellian_phase have hsum' := integral_add (hH.const_mul (1+4*entropyMomentCoefficient)) (hG.const_mul (4*entropyMomentCoefficient)) simp only [Pi.add_apply] at hsum hsum' rw [hsum,hsum',integral_const_mul,integral_const_mul] at hb have he : (∫ z, scalarRelativeEntropy (maxwellian z.2) (f z)) = relativeEntropy f := integral_congr_ae (Filter.Eventually.of_forall (fun z => scalarRelativeEntropy_eq (maxwellian_pos z.2) _)) rwa [he] at hb end BoltzmannNonuniqueness end end section /-! # Passing the sum of nonnegative entropy and dissipation to a subsequential limit -/ noncomputable section open Filter open scoped ENNReal Topology namespace BoltzmannNonuniqueness theorem ennreal_liminf_add_nat (u v : ℕ → ℝ≥0∞) : liminf u atTop+liminf v atTop ≤ liminf (fun n => u n+v n) atTop := by simp_rw [liminf_eq_iSup_iInf_of_nat] apply ENNReal.iSup_add_iSup_le intro N M apply le_iSup_of_le (max N M) apply le_iInf₂ intro k hk exact add_le_add (iInf₂_le k ((le_max_left N M).trans hk)) (iInf₂_le k ((le_max_right N M).trans hk)) theorem entropy_dissipation_of_liminfs {H D : ℕ → ℝ≥0∞} {C : ℕ → ℝ} {h d : ℝ≥0∞} {c : ℝ} (hh : h ≤ liminf H atTop) (hd : d ≤ liminf D atTop) (hC : Tendsto C atTop (𝓝 c)) (hupper : ∀ᶠ n in atTop, H n+D n ≤ ENNReal.ofReal (C n)) : h+d ≤ ENNReal.ofReal c := by have hm := liminf_le_liminf hupper rw [(ENNReal.tendsto_ofReal hC).liminf_eq] at hm exact (add_le_add hh hd).trans ((ennreal_liminf_add_nat H D).trans hm) end BoltzmannNonuniqueness end end section /-! # Retaining a common entropy and dissipation budget under time averaging -/ noncomputable section open MeasureTheory Filter open scoped ENNReal Topology namespace BoltzmannNonuniqueness variable {X : Type*} [MeasurableSpace X] {μ : Measure X} [IsFiniteMeasure μ] theorem entropy_dissipation_average_limit {H : ℕ → X → ℝ≥0∞} {h : X → ℝ≥0∞} {D C : ℕ → ℝ≥0∞} {d c : ℝ≥0∞} (hHm : ∀ n, Measurable (H n)) (hh : (∫⁻ x, h x ∂μ) ≤ liminf (fun n => ∫⁻ x, H n x ∂μ) atTop) (hd : d ≤ liminf D atTop) (hC : Tendsto C atTop (𝓝 c)) (hu : ∀ᶠ n in atTop, ∀ᵐ x ∂μ, H n x+D n ≤ C n) : (∫⁻ x, h x ∂μ)+μ Set.univ*d ≤ μ Set.univ*c := by have hm := ENNReal.le_liminf_mul (u := fun _ : ℕ => μ Set.univ) (v := D) (f := atTop) have hd' : μ Set.univ*d ≤ liminf (fun n => μ Set.univ*D n) atTop := by apply (mul_le_mul' le_rfl hd).trans simpa only [liminf_const,Pi.mul_def] using hm have hu' : ∀ᶠ n in atTop, (∫⁻ x, H n x ∂μ)+μ Set.univ*D n ≤ μ Set.univ*C n := by filter_upwards [hu] with n hn have h := lintegral_mono_ae hn rw [lintegral_add_left (hHm n),lintegral_const,lintegral_const] at h simpa only [mul_comm] using h have hlim : Tendsto (fun n => μ Set.univ*C n) atTop (𝓝 (μ Set.univ*c)) := ENNReal.Tendsto.const_mul hC (Or.inr (measure_ne_top μ Set.univ)) apply (add_le_add hh hd').trans apply (ennreal_liminf_add_nat _ _).trans have hb := liminf_le_liminf hu' rwa [hlim.liminf_eq] at hb end BoltzmannNonuniqueness end end end OAI